Update

.Rhistory

@@ -274,168 +274,3 @@ theme_mb()
 ### Save ###
 ggsave(here("outputs", "figures", "figure_6_cwm_ldmc_800dpi_6x6cm.tiff"),
 dpi = 800, width = 6, height = 6, units = "cm")
-# Show Figure CWM seed mass ####
-# Markus Bauer
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-# A Preparation #########################################################
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-### Packages ###
-library(here)
-library(tidyverse)
-library(ggbeeswarm)
-### Start ###
-rm(list = ls())
-setwd(here("data", "processed"))
-### Load data ###
-sites <- read_csv("data_processed_sites.csv", col_names = TRUE,
-col_types =
-cols(
-.default = col_double(),
-id = col_factor(),
-treatment = col_factor()
-)) %>%
-select(id, treatment, cwmAbuSeedmass) %>%
-mutate(treatment = fct_relevel(treatment, c("no_dam", "behind_dam")),
-treatment = fct_recode(treatment,
-"Active" = "no_dam",
-"Inactive" = "behind_dam"))
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-# B Plotten #############################################################
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-theme_mb <- function() {
-ggplot2::theme(
-panel.background = ggplot2::element_rect(fill = "white"),
-text  = ggplot2::element_text(size = 10, color = "black"),
-axis.line.y = ggplot2::element_line(),
-axis.line.x = ggplot2::element_blank(),
-axis.ticks.x = ggplot2::element_blank(),
-legend.key = ggplot2::element_rect(fill = "white"),
-legend.position = "right",
-legend.margin = ggplot2::margin(0, 0, 0, 0, "cm"),
-plot.margin = ggplot2::margin(.5, 0, 0, 0, "cm")
-)
-}
-ggplot(sites, aes(treatment, cwmAbuSeedmass)) +
-geom_boxplot(colour = "black") +
-geom_quasirandom(color = "black", dodge.width = .6, size = .8) +
-scale_y_continuous(limits = c(1, 3), breaks = seq(0, 100, .5)) +
-labs(x = "", y = "CWM seed mass [mg]", size = 3) +
-theme_mb()
-### Save ###
-ggsave(here("outputs", "figures", "figure_6_cwm_seedmass_800dpi_6x6cm.tiff"),
-dpi = 800, width = 6, height = 6, units = "cm")
-# Show map of the Schnalz floodplain ####
-# Markus Bauer
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-# A Preparation #########################################################
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-### Packages ###
-library(here)
-library(tidyverse)
-library(sf)
-library(ggmap)
-library(ggrepel)
-library(RColorBrewer)
-library(patchwork)
-### Start ###
-rm(list = ls())
-setwd(here("data", "processed", "spatial"))
-### Load data ###
-ger <- st_read("germany.shp")
-weir <- st_read("weir")
-sites <- st_read("sites.shp")
-sites2 <- read_csv("sites2.csv", col_names = TRUE,
-col_types =
-cols(
-id = col_factor(),
-Floodplain = col_factor()
-))
-load("background_toner.rda")
-load("background_terrain.rda")
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-# B Plot ################################################################
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-theme_mb <- function() {
-ggplot2::theme(
-panel.background = ggplot2::element_rect(fill = NA),
-panel.grid = ggplot2::element_line(colour = NA),
-text  = ggplot2::element_text(size = 10, color = "black"),
-axis.title = ggplot2::element_blank(),
-axis.text = ggplot2::element_blank(),
-axis.ticks = ggplot2::element_blank(),
-axis.line.x = ggplot2::element_blank(),
-axis.line.y = ggplot2::element_blank(),
-legend.position = "none",
-plot.margin = ggplot2::margin(.5, 0, 0, 0, "cm")
-)
-}
-## 1 Preparation ########################################################
-### a Map of project site -----------------------------------------------
-(sites_graph <- ggmap(background_terrain) +
-geom_point(data = sites2, aes(x = lon, y = lat, shape = Floodplain),
-size = 2, color = "black") +
-geom_point(aes(x = 10.9595, y = 47.77385),
-pch = 15, size = 2, color = "black") +
-annotate("text", x = 10.9595, y = 47.7736,
-label = "Weir", size = 3) +
-coord_sf(crs = st_crs(4326)) +
-annotate("text", x = 10.9553, y = 47.7743,
-label = "Inactive floodplain", size = 3) +
-annotate("text", x = 10.9652, y = 47.77475,
-label = "Active floodplain", size = 3) +
-ggspatial::annotation_scale(location = "br",
-pad_y = unit(0.6, "cm"),
-pad_x = unit(0.7, "cm"),
-width_hint = 0.4,
-height = unit(0.2, "cm")) +
-ggspatial::annotation_north_arrow(location = "br",
-pad_y = unit(1.1, "cm"),
-pad_x = unit(0.6, "cm"),
-which_north = "true",
-style = ggspatial::north_arrow_fancy_orienteering(),
-height = unit(1, "cm"),
-width = unit(1, "cm")) +
-theme_mb())
-### b Germany -----------------------------------------------------------
-ger_graph <- ggplot() +
-geom_sf(data = ger, fill = "transparent", colour = "black") +
-geom_point(aes(x = 10.95948, y = 47.77405), size = 1, colour = "white") +
-theme_mb() +
-theme(
-plot.background = element_blank()
-)
-### c Inset --------------------------------------------------------------
-sites_graph + inset_element(ger_graph, .01, .65, .3, .99, on_top = TRUE)
-# 2 Save #################################################################
-ggsave("figure_1_map_300dpi_12x10cm.tiff",
-dpi = 300, width = 12, height = 10, units = "cm",
-path = here("outputs", "figures"))
-# Show Figure FDis of all three traits ####
-# Markus Bauer
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-# A Preparation #########################################################
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-### Packages ###
-library(here)
-library(tidyverse)
-library(ggbeeswarm)
-### Start ###
-rm(list = ls())
-setwd(here("data", "processed"))
-### Load data ###
-sites <- read_csv("data_processed_sites.csv", col_names = TRUE,
-col_types =
-cols(
-.default = col_double(),
-id = col_factor(),
-treatment = col_factor()
-)) %>%
-select(id, treatment, fdisAbuLHS) %>%
-mutate(treatment = fct_relevel(treatment, c("no_dam", "behind_dam")),
-treatment = fct_recode(treatment,
-"Active" = "no_dam",
-"Inactive" = "behind_dam"))
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-# B Plotten #############################################################
-#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-theme_mb <- function() {